Understanding Machine Learning: From Theory to Algorithms
By
Shai Shalev-Shwartz (Author) Shai Ben-David (Author)
Hardback
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Description
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering. Worked examples or Exercises; 1 Halftones, unspecified; 46 Line drawings, unspecified
About the Author
Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.
More Details
- Contributor: Shai Shalev-Shwartz
- Imprint: Cambridge University Press
- ISBN13: 9781107057135
- Number of Pages: 410
- Packaged Dimensions: 183x260x28mm
- Packaged Weight: 910
- Format: Hardback
- Publisher: Cambridge University Press
- Release Date: 2014-05-19
- Binding: Hardback
- Biography: Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.
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